Read our FAQ and Terms of Service
standard plan capabilities
Usage trends & chargeback reports, down to individual job & user.
Everything you need for self-service troubleshooting in one place.
Out-of-the-box Databricks-specific reporting & dashboards on efficiency and cost drivers.
Pinpoint pipeline bottlenecks and missed SLAs, down to code level.
Forecast user-level DBU usage with granular data-driven accuracy.
Usage trends & chargeback reports, down to individual job & user.
Everything you need for self-service troubleshooting in one place.
Out-of-the-box Databricks-specific reporting & dashboards on efficiency and cost drivers.
Pinpoint pipeline bottlenecks and missed SLAs, down to code level.
Forecast user-level DBU usage with granular data-driven accuracy.
Unravel supports organizations running millions of jobs on thousands of nodes across dozens of clusters. Unravel scales to meet your needs.
Unravel is SOC 2 Type II compliant and only processes telemetry. Unravel does not access your data and treats all telemetry with the highest degree of security. More information here: Unravel Data Security.
Unravel for Databricks currently has integrations with Apache Spark, Apache Kafka, Delta Lake, Apache Airflow, as well as programming languages such as SQL, Python, Java, and Scala, with plans to add integrations for more systems, platforms, and frameworks.
Unravel’s data observability is perfect for data-driven enterprises looking to improve their DataOps and derive value from data faster, more reliably, and at lower cost. If your organization depends on the analytics from complex data pipelines handling large volumes of data across your lakehouse, Unravel is for you.
Yes. Snowflake pricing is based on virtual warehouse (compute) size, cloud services, data storage, and other factors. Compute usage is billed on a per-second basis (minimum of 60 seconds). You can also pre-purchased Snowflake capacity to reduce processing costs. Estimate Snowflake costs online with the Snowflake business value calculator.
Yes. Unravel automatically integrates and correlates external data quality checks with AI-driven insights. For example, you can drill down into quality check results, timelines, lineage, partitions, schema, usage, size, users, and more.
Yes. Unravel helps you allocate, track, and manage costs with pinpoint precision. Unravel helps you break down and allocate costs by department, team, workload, application, even down to the individual job or user level.
Unravel provides granular Insights, recommendations, and automation for before, during and after your Spark, Hadoop and data migration to Snowflake. Unravel for Snowflake is a complete data observability platform to help you tune, troubleshoot, cost-optimize, and ensure data quality on Snowflake. Unravel provides AI-powered recommendations and automated actions to enable intelligent optimization of data pipelines and data applications.
Yes. BigQuery is serverless, meaning that you do not need to deploy compute or storage. BigQuery pricing includes compute and storage costs and depends on the type of analysis, type and amount of storage, data ingestion and other factors. You can also reserve compute capacity to reduce processing costs. Estimate BigQuery costs online with the Google Cloud pricing calculator.
Yes. Unravel supports both on-demand compute pricing and BigQuery Editions. For example, Unravel can help you improve cost efficiency by recommending a different pricing plan. Unravel can also recommend the minimum and maximum slot settings depending on your workload.
Yes. Unravel alerts can be generated by setting AutoActions. For example, you can use an AutoAction to notify you about a situation that requires manual intervention, such as resource contention or stuck jobs.
Yes. Unravel provides AI-powered recommendations to help you improve query efficiency. Optimal SQL queries enable you to accelerate results and serve more user requests with your existing BigQuery resources. For example, Unravel helps you make better use of partition and cluster keys, improve performance with partition pruning, and avoid common anti-patterns such as SELECT * on “wide” tables that contain a large number of infrequently-used columns.
Yes. Unravel can be set up to automatically create and configure resources in more than 100 projects at a time. You can either add single projects or multiple projects at a time for Unravel monitoring. These projects can be added either with customer-supplied credentials or with Unravel-generated credentials.
Yes. You can create custom dashboards using a collection of pre-built components. Custom dashboards help you improve communication and collaboration between teams and give leaders visibility to key metrics.
Yes. You can create new alerts using a flexible set of criteria and communications platforms integrations. Custom alerts effectively provides an early warning system to alert you of resource usage spikes before it hits the cloud bill.